Geographic morbidity differentials in the late nineteenth-century united states

We use a national cross-sectional database, the 1880 Integrated Public Use Microdata Sample, to examine aggregate patterns and individual-level estimates of chronic-disease morbidity and long-term disability in the United States in the late nineteenth century. Despite higher levels of urban mortality in 1880, morbidity prevalence rates were highest in the rural areas of the country, especially in the western and the southern regions. Equations using microdata show that the estimated risk of chronic disease and impairment was highest for males and females who were older, of lower socioeconomic status, or from rural areas. This era was marked by geographically uneven but significant levels of endemic chronic disease, likely the outcomes of prior episodes of infectious disease and exposure to conditions generated by human action, such as the Civil War and migration.     

Longitudinal analysis of friendship networks

This note discusses and demonstrates methods, both exploratory and confirmatory, for analysing data from friendship networks collected over time. The focus is on stochastic models for dyadic interaction designed to quantify the structural effect of reciprocity on arc changes. The networks studied were previously analysed by Hallinan (Social Networks 1: 193–210) who was concerned with stability of dyadic choices and the direction of change of asymmetric dyads to either mutual or null dyads. These aspects of the networks are really of secondary importance to the effect of reciprocated choices on the probabilities of dyadic change. Measures of this ‘reciprocity effect’ are presented, and comments on the rationale for continuous-time Markov chains as models for networks are given.     

Helping a Victim or Helping the Victim: Altruism and Identifiability

Although it has been claimed that people care more about identifiable than statistical victims, demonstrating this identifiable victim effect has proven difficult because identification usually provides information about a victim, and people may respond to the information rather than to identification per se. We show that a very weak form of identifiability—determining the victim without providing any personalizing information—increases caring. In the first, laboratory study, subjects were more willing to compensate others who lost money when the losers had already been determined than when they were about to be. In the second, field study, people contributed more to a charity when their contributions would benefit a family that had already been selected from a list than when told that the family would be selected from the same list.     

Trauma of children of the Sudan: a constructivist exploration

This article examines the trauma of Sudanese refugee children living in a Midwestern city from a social constructivist view. From a qualitative perspective, the study explored how the Sudanese children, their U.S. foster parents, and social workers from an American child welfare agency described their understanding of the migration experience. Results point to the importance of placing the children's trauma in the context of their own cultures, as child welfare workers assist in the children's adjustment to the United States.     

The effect of stimulus content on volunteering for sexual interest research among college students

Much of the literature on volunteer bias in sexual interest research has been limited to either identifying variables on which volunteers differ from nonvolunteers or examining how the intrusiveness of the measurement device affects volunteer rates. The present study was designed to examine whether stimulus content would affect volunteer rates and volunteer/nonvolunteer differences in a large sample of college students (206 men and 358 women). The study also sought to determine whether such findings could also apply to research that recruits from exclusively heterosexual samples. Students completed questionnaires in small groups and were asked whether they would be willing to volunteer for studies that would involve viewing and rating five different types of sexually explicit images (nude men, nude women, heterosexual behavior, male homosexual behavior, and female homosexual behavior). Results indicate that men and women differed in the types of images that they would volunteer to view, based upon the content of the images. Furthermore, volunteers for each type of image reported significantly greater self-monitoring as well as sexual and general sensation seeking than did nonvolunteers, while differences on other measures were less consistent. Discussion is given to specific ways in which the findings and generalizability of sexual interest study results can be affected.     

A “Pracademic’s” Perspective of Ethics and Honor: Imperatives for Public Service in the 21st Century!

Public Organization Review - This essay addresses ethics and honor, and the role they play in the actions of the public servant for the 21st century. Today’s public servant operates in an age...     

A Distributional Approach to Characterizing Low-Dose Cancer Risk

Since cancer risk at very low doses cannot be directly measured in humans or animals, mathematical extrapolation models and scientific judgment are required. This article demonstrates a probabilistic approach to carcinogen risk assessment that employs probability trees, subjective probabilities, and standard bootstrapping procedures. The probabilistic approach is applied to the carcinogenic risk of formaldehyde in environmental and occupational settings. Sensitivity analyses illustrate conditional estimates of risk for each path in the probability tree. Fundamental mechanistic uncertainties are characterized. A strength of the analysis is the explicit treatment of alternative beliefs about pharmacokinetics and pharmacodynamics. The resulting probability distributions on cancer risk are compared with the point estimates reported by federal agencies. Limitations of the approach are discussed as well as future research directions.